MCP For Claude Marketplace
String Metrics Analyzer

String Metrics Analyzer MCP Connector for Claude

A+

Bypass LLM tokenization blindness. Get exact character counts, word counts, and specific string occurrences deterministically.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

LLMs suffer from absolute tokenization blindness. If you ask an AI "How many times does the letter R appear in the word Strawberry?", it frequently fails because it does not see letters—it sees tokens. This engine enforces deterministic character string auditing.

The Superpowers

  • Token Blindness Bypass: Instantly count the exact number of characters, spaces, and words in any text block using pure Node.js string mathematics.
  • Specific Substring Audits: Ask the AI to verify exactly how many times a specific tag, word, or character appears in a generated document. The engine provides an irrefutable count.
  • SEO & Constraints: Perfect for ensuring AI-generated SEO titles, meta descriptions, or ad copies stay strictly within character limits without hallucinating length.
string-analysischaracter-countingtokenization-bypasstext-metricsdeterministic-logic

1 tools expose this connector's capabilities to your AI agent.

analyze_string_metrics

Pass both strings and receive Levenshtein distance, Jaccard index, and other similarity scores for deduplication or fuzzy matching. Deterministically calculates text metrics including exact character count, word count, and specific character occurrences to bypass LLM tokenization blindness

See how to talk to your AI agent using String Metrics Analyzer.

Analyze this blog text and calculate exactly how many times the substring 'Stripe' appears.

✅ **String Metrics Analyzed:** The exact occurrence count for 'Stripe' is 14.

Count the absolute character length of this SEO description, including whitespaces.

✅ **Length:** The string has exactly 168 characters natively measured in V8.

Does this meta title exceed the recommended 60 character threshold?

✅ **Evaluation:** Yes. The native count is 72, which exceeds the 60-character limit.

Because LLMs process text in chunks called 'tokens', not individual characters.

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